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All Journal Tadris: Jurnal keguruan dan Ilmu Tarbiyah IJID (International Journal on Informatics for Development) Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education)
Madnasri, Sutikno
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Computer Science & IT Education

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Feature Selection Method to Improve the Accuracy of Diabetes Mellitus Detection Instrument Wulandari, Sari Ayu; Madnasri, Sutikno; Pramitasari, Ratih; Susilo, Susilo
IJID (International Journal on Informatics for Development) Vol. 9 No. 2 (2020): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2020.09203

Abstract

The need for aroma recognition devices or often known as enose (electronic nose), is increasing. In the health field, enose can detect early diabetes mellitus (DM) type 2 from the aroma of urine. Enose is an aroma recognition tool that uses a pattern recognition algorithm to recognize the urine aroma of diabetics based on input signals from an array of gas sensors. The need for portable enose devices is increasing due to the increasing need for real-time needs. Enose devices have an enormous impact on the choice of the gas sensor Array in the enose. This article discusses the effect of the number of sensor arrays used on the recognition results. Enose uses a maximum of 4 sensors, with a maximum feature matrix. After that, the feature matrix enters the PCA (Principal Component Analysis) feature extraction and clustering using the FCM (Fuzzy C Means) method. The number of sensors indicates the number of features. Enose using method for feature selection, it’s a variation from 4 sensors, where experiment 1 uses 4 sensors, experiment 2 uses a variation of 3 sensors and experiment 3 uses a variation of 2 sensors. Especially for sensors 3 and 4 using feature extraction method, PCA (Principal Component Analysis), to reduce features to only 2 best features. As for the variation of 2 sensors use primer feature matrix. After feature selection, the number of features is 2 out of 11 variations. Next, do the grouping using the FCM (Fuzzy C Means) method. The results show that using two sensors has a high accuracy rate of 92.5%.
Bibliometric Analysis of Ocean Literacy Trends in Science Education Research (2003-2023) Dewi, Tisrin Maulina; Indriyanti, Dyah Rini; Madnasri, Sutikno; Sanusi, Rahmat
Tadris: Jurnal Keguruan dan Ilmu Tarbiyah Vol 9 No 1 (2024): Tadris: Jurnal Keguruan dan Ilmu Tarbiyah
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/tadris.v9i1.20104

Abstract

Studies on ocean literacy in science education have gained increasing attention from scholars in recent years. To provide an overall understanding of these scientific contributions, a bibliometric analysis was conducted on 117 journal articles collected from the Scopus database. The analysis was carried out using Biblioshiny and VosViewer tools to investigate trends and patterns in the field of ocean literacy within science education. The results revealed that publications on ocean literacy in science education have increased exponentially, with an annual growth rate of 0.86%. Key terms related to ocean literacy in science education include education, literacy, oceanography, climate change, teaching, learning, ocean literacy, and students. Emerging study topics include sustainable development, citizen science, marine environment, communication, and environmental education. The findings provide an overview for science educators to develop research studies on ocean literacy and present a valuable framework for continuous research in this area. This study highlights aspects of ocean literacy that have not been extensively explored and can serve as a valuable resource for researchers, educators, and stakeholders engaged in the sustainable conservation of the ocean in the future.
Research Trend of 21st Century Skills in Science Education Through Bibliometrics Mulyani*, Asep; Indriyanti, Dyah Rini; Madnasri, Sutikno
Jurnal Pendidikan Sains Indonesia Vol 11, No 4 (2023): OCTOBER 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jpsi.v11i4.32527

Abstract

Science learning plays an important role in facilitating the development of 21st century skills. Scholars have paid much attention to the topic in their research activities to gain a comprehensive picture of its role in science education. This study aims to provide an overview of research trends on 21st century skills, especially in science education, through a search for articles that have been published since 2000-2022. The articles consisted of 740 articles derived from the scopus and google scholar databases through searches using the publish or perish search engine. Bibliometric network mapping using visualization of similarities. This bibliometric research is based on stages based on the preferred reporting items for systematic reviews and meta-analyses and network meta-analyses method or abbreviated as preferred reporting items for systematic reviews and meta-analyses. The results showed that 21st century skills research in recent years has increased and occurs at various levels of education and scientific discipline areas and uses a variety of research methods. The findings are expected to provide an overview for other researchers regarding 21st century skills including the number of publications, country of origin, type of publications, research methods, research subjects, types of instruments used, disciplinary fields (science, chemistry, physics, and biology), and learning interventions
Co-Authors Dyah Rini Indriyanti Mulyani*, Asep Pramitasari, Ratih Sanusi, Rahmat Sari Ayu Wulandari Susilo Susilo Tisrin Maulina Dewi, Tisrin Maulina